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Characterisation of GNSS Space Service Volume

Published online by Cambridge University Press:  30 July 2014

Shuai Jing ,
Xingqun Zhan ,
Jun Lu ,
Shaojun Feng  and
Washington Y. Ochieng
Shuai Jing*
Affiliation:
(School of Aeronautics and Astronautics, Shanghai Jiao Tong University)
Xingqun Zhan
Affiliation:
(School of Aeronautics and Astronautics, Shanghai Jiao Tong University)
Jun Lu
Affiliation:
(Beijing Institute of Tracking & Telecommunication Technology)
Shaojun Feng
Affiliation:
(Centre for Transport Studies, Imperial College London)
Washington Y. Ochieng
Affiliation:
(Centre for Transport Studies, Imperial College London)
*
(E-mail: lightning95@sjtu.edu.cn)
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Abstract

There is increasing demand for navigation capability for space vehicles. The idea to extend the application of Global Navigation Satellite Systems (GNSS) from terrestrial to space applications by the use of main beam and side lobe signals has been shown to be feasible. In order to understand the performance and the potential space applications GNSS can support, this paper characterises the Space Service Volume (SSV) in terms of the four parameters of minimum received power, satellite visibility, pseudorange accuracy and Geometric Dilution of Precision (GDOP). This new definition enables the position errors to be estimated. An analytical methodology is proposed to characterise minimum received power for the worst location. Satellite visibility and GDOP are assessed based on grid points at different height layers (to capture the relationship between height and visibility) for single and multiple GNSS constellations, the former represented by BeiDou III (BDS III) and the latter, BDS III in various combinations with GPS, GLONASS and GALILEO. Additional simulation shows that GNSS can potentially support lunar exploration spacecraft at the Earth phasing orbit. This initial assessment of SSV shows the potential of GNSS for space vehicle navigation.

Keywords

GNSSBDSSpace Service VolumeLunar Exploration
Type
Research Article
Information
The Journal of Navigation , Volume 68 , Issue 1 , January 2015 , pp. 107 - 125
Copyright
Copyright © The Royal Institute of Navigation 2014 

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